Install hyp3-lib from the Github repo using the setup.py file
Clip raster data to the same extent:
import glob
from osgeo import gdal
import os
from hyp3lib.cutGeotiffs import cutFiles
# Path that contains the directories with the unzipped Hyp3 data
images_folder = r'E:\London\Hyp3'
glob_items = []
target_files = ['*corr.tif', '*unw_phase.tif', '*inc_map.tif', '*dem.tif']
for item in target_files:
for file in glob.glob(os.path.join(images_folder, '*', item)):
glob_items.append(file)
print('Clipping images')
cutFiles(glob_items)
is there any rule for pairing the images or any experience we can use. Maybe we just remove the pairs with low quality inferogram, but I try to save some time…
hey there,
I’m also preparing datafiles for sbas using snap.
If I understand correctly, all data should be co-registrated to a chosen master data firstly and then generate inteferogram pairs. This is not possible in snap for now because multi-master is not supported.
Your method is to clip all interferograms into same area and dimensions. This mainly rely on the geocoding accuracy. I guess it may have some problems. Apply co-regsitration at early phase maybe more reasonable
You have to process them all individually one by one. This is a very labor intensive process if you do it manually in SNAP. I really recommend you create a script for it.
I just do standard InSAR processing that you can find on RUS Training. I automated that process to fit the SBAS requirement where each date needs 3 slaves.
Hi dear panjibrotoisworo
I want to calculate the closure_phase_bias.py using the MintPy software that I per-processed on ISCE,
but I cant calculate with (MintPy/closure_phase_bias.py at main · insarlab/MintPy · GitHub)
I would be grateful if you could guide me
Hello, thanks for your sharing. but I wonder how to Subset all four MintPy products by region, to make all the input data have the same row and column.